Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 14B Instruct

Alibaba

2024-09-19

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

4 months newer

Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Average Score:33.8%

Qwen2.5 14B Instruct

+11.7%

Average Score:45.5%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

math

83.9%

code

16.9%

general

43.3%

Qwen2.5 14B Instruct

math

+3.5%

87.4%

code

+53.1%

70.0%

general

+24.2%

67.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

0 providers

Qwen2.5 14B Instruct

0 providers

DeepSeek R1 Distill Qwen 1.5B

Avg Score:33.8%

Providers:0

Qwen2.5 14B Instruct

+11.7%

Avg Score:45.5%

Providers:0